Staff, Mapping Software Engineer

About the Role

The GeoAI team is building the next generation of fleet-powered mapping infrastructure that
continuously learns from vehicle observations and automatically generates, validates, and updates
map content at scale.

We are seeking a Staff Mapping Engineer to lead the development of large-scale mapping systems
that leverage data collected from engineering fleets, FOT programs, and customer vehicles to create
and maintain production-quality map assets. You will define the architecture and algorithms that
transform millions of vehicle miles into continuously improving lane-level maps, road graphs,
localization maps, map change detections, and spatial intelligence products for Navigation, ADAS,
and Autonomous Driving.

This role requires deep expertise in mapping, large-scale optimization, SLAM, sensor fusion, and
cloud-scale data processing

What You'll Do

Fleet-Scale Mapping & Map Fusion

• Develop large-scale HD mapping systems using camera, LiDAR, GNSS/IMU, and vehicle telemetry data.
• Build scalable pipelines that fuse observations from millions of fleet-driven miles into unified, continuously improving maps.
• Design multi-route and multi-vehicle map alignment, optimization, and crowdsourced mapping solutions.

HD Map Generation & Maintenance

• Create automated pipelines to extract lane geometry, road boundaries, traffic controls, crosswalks, speed limits, and localization landmarks.
• Develop confidence, validation, and quality-control frameworks that promote verified observations into production maps.
• Build automated map change detection and update systems for evolving road networks.

AI-Powered Mapping

• Apply machine learning, Spatial AI, and foundation models to automate map creation, semantic understanding, anomaly detection, and map quality evaluation.
• Drive innovation in self-supervised learning and fleet-scale mapping technologies.

Production-Scale Mapping Systems

• Design and operate cloud-based mapping platforms capable of processing petabyte-scale fleet data.
• Optimize distributed infrastructure for performance, scalability, reliability, and cost efficiency.
• Establish engineering standards, validation frameworks, and operational monitoring for production mapping systems.
• Mentor engineers and collaborate across teams to deliver end-to-end mapping solutions.

Required Qualifications

• MS or PhD in Computer Science, Robotics, Geospatial Engineering, Electrical Engineering, or related field.
• 8+ years of industry experience developing large-scale mapping, localization, SLAM, robotics, or autonomous driving systems.
• Expert-level software development skills in C++ and Python.
• Deep knowledge of:
• SLAM
• Multi-view geometry
• Bundle adjustment
• Pose graph optimization
• Sensor fusion
• State estimation
• Geospatial systems
• Experience processing large-scale camera, LiDAR, GNSS, IMU, and vehicle telemetry datasets.
• Experience building production cloud services and distributed processing pipelines.
• Proven ability to lead complex technical initiatives across organizations

Preferred Qualifications

• Experience with fleet-scale mapping systems at companies such as Tesla, Waymo, Cruise,

Zoox, Rivian, Mobileye, HERE, TomTom, or Google.

• Experience building crowdsourced mapping platforms using customer vehicle data.
• Experience with HD map generation, lane graph construction, localization maps, and map

lifecycle management.

• Experience with map compilation, map distribution, and incremental map updates.
• Experience with Spark, Ray, Kubernetes, AWS, Azure, or similar large-scale compute

platforms.

• Publications or patents related to mapping, localization, SLAM, or autonomous driving.

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program.

Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations <@> lucidmotors.com. This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.